Continuous Extensions of Matrix Formulations in Correspondence Analysis, with Applications to the Fgm Family of Distributions
نویسندگان
چکیده
Correspondence analysis is a multivariate technique used to visualize categorical data, usually data in a two-way contingency table. Some extensions of correspondence analysis to a continuous bivariate distribution are presented, rstly from a canonical correlation analysis perspective and then from a continuous scaling perspective. These extensions are applied to the Farlie-Gumbel-Morgenstern (FGM) family of bivariate distributions with given marginals, and also to a generalization of this family.
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